Results 81 to 90 of about 89,316 (267)
O‐GlcNAcylated TAP1 Impairs Antigen Presentation and Promotes Immune Evasion in Bladder Cancer
This article unveils a critical mechanism of immune evasion in bladder cancer, which the O‐GlcNAc modification of TAP1 disrupts antigen presentation. This modification triggers HLA‐A degradation, shielding tumor cells from CD8+ T cell attack. The findings highlight targeting this pathway as a promising therapeutic avenue to sensitize tumors to ...
Jinpeng Wu +10 more
wiley +1 more source
The multilevel hierarchical data EM-algorithm. Applications to discrete-time Markov chain epidemic models. [PDF]
Wanduku D.
europepmc +1 more source
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi +8 more
wiley +1 more source
Simulation of Logistics Delay in Bayesian Network Control Based on Genetic EM Algorithm. [PDF]
Qiao P.
europepmc +1 more source
Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti +13 more
wiley +1 more source
EM Algorithm for Estimating the Parameters of Weibull Competing Risk Model. [PDF]
Kayid M.
europepmc +1 more source
We supplement the article of Meng (2006) on the EM algorithm and its applications, providing also an update on its more recent developments and applications. The expectation–maximization algorithm, popularly known as the EM algorithm, is a general-purpose algorithm for maximum-likelihood estimation in a wide variety of situations best described as ...
McLachlan, GJ, Ng, Shu Kay, Nguyen, HD
openaire +2 more sources
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm. [PDF]
Kaltiokallio O +3 more
europepmc +1 more source
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li +15 more
wiley +1 more source

